Beam search is a decoding method used when an AI model must build a sequence one element at a time. Rather than keeping only the single most likely next choice, it maintains a limited set of promising partial sequences called beams. Each step expands those candidates, scores the results, and keeps the best few until a stopping condition is reached. The method can produce stronger translations, transcriptions, or generated text than purely greedy decoding, although a wider beam increases computation and does not guarantee a better answer. Length penalties, repetition controls, and task-specific scoring are often added because the highest-probability sequence may be short, repetitive, or otherwise undesirable.
OpenAI has introduced Sora 2, a next-generation video AI model with synchronized audio, improved physics, and tighter control, alongside a companion social app.
Opera today introduced Neon, an AI-powered browser that can run tasks and navigate pages autonomously — aiming to shift web browsing from passive to “agentic.”
OpenAI’s next version of its Sora video generator will default to including copyrighted content unless owners explicitly opt out – drawing criticism from media creators.
AI search startup Perplexity has reportedly raised $200 million at a $20 billion valuation, just two months after a $100 million round – signaling its rapid rise as a major rival to Google.